Pulses — Feed by country
A food balance sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply...
Countries reporting
176
Highest
4,319 1000 t
China
Lowest
0 1000 t
China, Macao SAR
Median
9.5 1000 t
Years covered
14
2010–2023
Data points
2,756
What the numbers show
Pulses — Feed is currently reported for 176 countries. The highest value is 4,319 1000 t in China; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 9.5 1000 t, and the mean is 152.22 1000 t.
Over the past decade 72 countries rose and 44 fell. The largest increase was in Kyrgyzstan (up 7,100.0%), and the largest decrease in Botswana (down 100.0%).
Pulses — Feed: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 4,319 1000 t | 2023 | up 94.6% | rising |
| 2 | China, mainland | 4,308 1000 t | 2023 | up 94.6% | rising |
| 3 | India | 3,102 1000 t | 2023 | up 67.5% | rising |
| 4 | Australia | 1,247 1000 t | 2023 | up 74.2% | rising |
| 4 | Australia and New Zealand | 1,247 1000 t | 2023 | up 73.9% | rising |
| 6 | Myanmar | 1,110 1000 t | 2023 | down 61.3% | falling |
| 7 | United Kingdom of Great Britain and Northern Ireland | 1,101 1000 t | 2023 | up 409.7% | volatile |
| 8 | Russian Federation | 1,029 1000 t | 2023 | up 2.1% | rising |
| 9 | Nigeria | 963 1000 t | 2023 | down 34.3% | flat |
| 10 | Poland | 659 1000 t | 2023 | up 139.6% | rising |
| 11 | Germany | 645 1000 t | 2023 | up 149.0% | rising |
| 12 | France | 643 1000 t | 2023 | up 104.8% | rising |
| 13 | Spain | 507 1000 t | 2023 | up 55.5% | rising |
| 14 | Uruguay | 444 1000 t | 2023 | up 32.1% | flat |
| 15 | Norway | 370 1000 t | 2023 | up 1,056.2% | volatile |
| 16 | Belarus | 327 1000 t | 2023 | down 4.4% | flat |
| 17 | Ghana | 306 1000 t | 2023 | up 53.0% | rising |
| 18 | Bangladesh | 245 1000 t | 2023 | up 85.6% | rising |
| 19 | Italy | 219 1000 t | 2023 | up 222.1% | rising |
| 20 | Niger | 209 1000 t | 2023 | down 6.7% | falling |
| 21 | Canada | 181 1000 t | 2023 | down 22.0% | volatile |
| 22 | Malawi | 179 1000 t | 2023 | up 61.3% | rising |
| 23 | Netherlands (Kingdom of the) | 176 1000 t | 2023 | up 274.5% | rising |
| 24 | Mozambique | 169 1000 t | 2023 | up 152.2% | volatile |
| 25 | Greece | 150 1000 t | 2023 | up 733.3% | volatile |
| 26 | Cambodia | 133 1000 t | 2023 | — | volatile |
| 27 | United Republic of Tanzania | 132 1000 t | 2023 | down 7.7% | falling |
| 28 | Kenya | 103 1000 t | 2023 | down 3.7% | falling |
| 29 | Romania | 99 1000 t | 2023 | up 106.2% | rising |
| 30 | Djibouti | 97 1000 t | 2023 | up 546.7% | volatile |
| 31 | Angola | 95 1000 t | 2023 | up 106.5% | rising |
| 32 | Türkiye | 88 1000 t | 2023 | down 69.4% | falling |
| 33 | Denmark | 86 1000 t | 2023 | up 273.9% | volatile |
| 34 | Oman | 83 1000 t | 2023 | up 4,050.0% | volatile |
| 35 | Belgium | 81 1000 t | 2023 | down 18.2% | rising |
| 36 | Iran (Islamic Republic of) | 79 1000 t | 2023 | up 3.9% | flat |
| 37 | Ireland | 78 1000 t | 2023 | up 766.7% | volatile |
| 38 | Pakistan | 77 1000 t | 2023 | up 11.6% | rising |
| 39 | Kyrgyzstan | 72 1000 t | 2023 | up 7,100.0% | volatile |
| 39 | Senegal | 72 1000 t | 2023 | — | volatile |
| 41 | Morocco | 70 1000 t | 2023 | up 14.8% | flat |
| 41 | Sweden | 70 1000 t | 2023 | up 218.2% | volatile |
| 43 | Lithuania | 66 1000 t | 2023 | up 43.5% | rising |
| 44 | Uzbekistan | 62 1000 t | 2023 | up 181.8% | volatile |
| 45 | Syrian Arab Republic | 54 1000 t | 2023 | up 116.0% | rising |
| 46 | Latvia | 53 1000 t | 2023 | up 178.9% | volatile |
| 46 | Nepal | 53 1000 t | 2023 | up 39.5% | rising |
| 48 | Ethiopia | 50 1000 t | 2023 | down 28.6% | rising |
| 49 | Finland | 48 1000 t | 2023 | up 1,100.0% | volatile |
| 50 | Viet Nam | 44 1000 t | 2023 | up 76.0% | rising |
| 51 | Austria | 43 1000 t | 2023 | up 13.2% | falling |
| 52 | Algeria | 42 1000 t | 2023 | up 68.0% | rising |
| 52 | Ukraine | 42 1000 t | 2023 | down 69.6% | falling |
| 54 | Serbia | 41 1000 t | 2023 | down 2.4% | falling |
| 55 | Tunisia | 40 1000 t | 2023 | up 42.9% | rising |
| 56 | Republic of Korea | 39 1000 t | 2023 | up 56.0% | volatile |
| 57 | Kazakhstan | 36 1000 t | 2023 | down 12.2% | volatile |
| 58 | Caribbean | 35 1000 t | 2023 | down 37.5% | falling |
| 59 | Egypt | 32 1000 t | 2023 | down 72.2% | falling |
| 60 | Peru | 28 1000 t | 2023 | unchanged | falling |
| 60 | Portugal | 28 1000 t | 2023 | up 115.4% | volatile |
| 62 | Bulgaria | 27 1000 t | 2023 | up 237.5% | volatile |
| 63 | Czechia | 25 1000 t | 2023 | up 127.3% | rising |
| 63 | Israel | 25 1000 t | 2023 | up 177.8% | volatile |
| 63 | Mexico | 25 1000 t | 2023 | down 34.2% | rising |
| 63 | Bolivia (Plurinational State of) | 25 1000 t | 2023 | up 212.5% | rising |
| 67 | Afghanistan | 24 1000 t | 2023 | up 2,300.0% | volatile |
| 68 | Iraq | 23 1000 t | 2023 | up 360.0% | volatile |
| 69 | Cameroon | 20 1000 t | 2023 | up 400.0% | volatile |
| 70 | Switzerland | 18 1000 t | 2023 | down 5.3% | rising |
| 70 | Saudi Arabia | 18 1000 t | 2023 | — | volatile |
| 72 | Chile | 16 1000 t | 2023 | up 14.3% | volatile |
| 72 | Georgia | 16 1000 t | 2023 | down 11.1% | falling |
| 72 | Tajikistan | 16 1000 t | 2023 | down 68.6% | volatile |
| 75 | Bosnia and Herzegovina | 15 1000 t | 2023 | up 1,400.0% | volatile |
| 75 | Malaysia | 15 1000 t | 2023 | up 25.0% | volatile |
| 77 | Brazil | 13 1000 t | 2023 | up 550.0% | volatile |
| 77 | Colombia | 13 1000 t | 2023 | down 91.8% | volatile |
| 77 | Guatemala | 13 1000 t | 2023 | up 62.5% | flat |
| 77 | Slovakia | 13 1000 t | 2023 | up 18.2% | flat |
| 81 | United Arab Emirates | 12 1000 t | 2023 | down 20.0% | falling |
| 81 | Cuba | 12 1000 t | 2019 | up 20.0% | rising |
| 81 | Dominican Republic | 12 1000 t | 2023 | — | volatile |
| 84 | Azerbaijan | 11 1000 t | 2023 | down 47.6% | volatile |
| 84 | North Macedonia | 11 1000 t | 2023 | down 8.3% | falling |
| 84 | China, Hong Kong SAR | 11 1000 t | 2023 | up 450.0% | volatile |
| 87 | Haiti | 10 1000 t | 2023 | down 69.7% | falling |
| 87 | Libya | 10 1000 t | 2023 | up 42.9% | rising |
| 89 | Guinea | 9 1000 t | 2023 | up 125.0% | volatile |
| 89 | Yemen | 9 1000 t | 2023 | up 12.5% | rising |
| 91 | Hungary | 8 1000 t | 2023 | up 60.0% | rising |
| 92 | Estonia | 7 1000 t | 2023 | up 133.3% | volatile |
| 92 | Republic of Moldova | 7 1000 t | 2023 | up 16.7% | falling |
| 94 | Indonesia | 6 1000 t | 2023 | down 50.0% | rising |
| 94 | Kuwait | 6 1000 t | 2023 | — | volatile |
| 94 | Democratic Republic of the Congo | 6 1000 t | 2023 | down 81.2% | volatile |
| 97 | Costa Rica | 5 1000 t | 2023 | up 150.0% | rising |
| 97 | Eswatini | 5 1000 t | 2023 | up 400.0% | volatile |
| 99 | Ecuador | 4 1000 t | 2023 | up 33.3% | volatile |
| 99 | Honduras | 4 1000 t | 2023 | down 20.0% | volatile |
| 99 | Philippines | 4 1000 t | 2023 | up 300.0% | volatile |
| 102 | Bahrain | 3 1000 t | 2023 | — | falling |
| 102 | Croatia | 3 1000 t | 2023 | down 57.1% | falling |
| 102 | Jamaica | 3 1000 t | 2023 | down 70.0% | volatile |
| 102 | Lebanon | 3 1000 t | 2023 | up 200.0% | rising |
| 102 | Sri Lanka | 3 1000 t | 2023 | down 50.0% | rising |
| 102 | Lesotho | 3 1000 t | 2023 | down 40.0% | falling |
| 102 | Madagascar | 3 1000 t | 2023 | up 50.0% | falling |
| 102 | Qatar | 3 1000 t | 2023 | — | flat |
| 102 | Slovenia | 3 1000 t | 2023 | up 200.0% | volatile |
| 102 | Thailand | 3 1000 t | 2023 | unchanged | falling |
| 112 | Albania | 2 1000 t | 2023 | unchanged | rising |
| 112 | Burkina Faso | 2 1000 t | 2023 | down 99.1% | volatile |
| 112 | Jordan | 2 1000 t | 2023 | up 100.0% | volatile |
| 112 | Rwanda | 2 1000 t | 2023 | unchanged | falling |
| 112 | Zimbabwe | 2 1000 t | 2023 | down 33.3% | volatile |
| 117 | Belize | 1 1000 t | 2023 | — | volatile |
| 117 | Barbados | 1 1000 t | 2023 | unchanged | rising |
| 117 | Bhutan | 1 1000 t | 2023 | — | falling |
| 117 | Congo | 1 1000 t | 2023 | unchanged | rising |
| 117 | Fiji | 1 1000 t | 2023 | — | volatile |
| 117 | Gambia | 1 1000 t | 2023 | — | volatile |
| 117 | Mauritius | 1 1000 t | 2023 | — | volatile |
| 117 | Namibia | 1 1000 t | 2023 | down 50.0% | falling |
| 117 | Panama | 1 1000 t | 2023 | — | volatile |
| 117 | Sierra Leone | 1 1000 t | 2023 | down 50.0% | volatile |
| 117 | El Salvador | 1 1000 t | 2023 | down 50.0% | volatile |
| 117 | Trinidad and Tobago | 1 1000 t | 2023 | unchanged | volatile |
| 117 | Timor-Leste | 1 1000 t | 2023 | down 50.0% | falling |
| 117 | Melanesia | 1 1000 t | 2023 | — | volatile |
| 117 | Lao People's Democratic Republic | 1 1000 t | 2023 | — | volatile |
| 132 | Argentina | 0 1000 t | 2023 | — | volatile |
| 132 | Armenia | 0 1000 t | 2023 | — | volatile |
| 132 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 132 | Bahamas | 0 1000 t | 2023 | — | flat |
| 132 | Botswana | 0 1000 t | 2023 | down 100.0% | volatile |
| 132 | Comoros | 0 1000 t | 2023 | — | volatile |
| 132 | Cyprus | 0 1000 t | 2023 | — | volatile |
| 132 | Gabon | 0 1000 t | 2023 | — | flat |
| 132 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 132 | Grenada | 0 1000 t | 2023 | — | flat |
| 132 | Guyana | 0 1000 t | 2023 | — | flat |
| 132 | Iceland | 0 1000 t | 2023 | — | flat |
| 132 | Liberia | 0 1000 t | 2023 | — | flat |
| 132 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 132 | Luxembourg | 0 1000 t | 2023 | — | volatile |
| 132 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 132 | Malta | 0 1000 t | 2023 | down 100.0% | volatile |
| 132 | Montenegro | 0 1000 t | 2023 | — | flat |
| 132 | Mongolia | 0 1000 t | 2023 | — | flat |
| 132 | Mauritania | 0 1000 t | 2023 | down 100.0% | volatile |
| 132 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 132 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 132 | New Zealand | 0 1000 t | 2023 | down 100.0% | volatile |
| 132 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 132 | Paraguay | 0 1000 t | 2023 | down 100.0% | volatile |
| 132 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 132 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 132 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 132 | Suriname | 0 1000 t | 2023 | — | volatile |
| 132 | Seychelles | 0 1000 t | 2023 | — | flat |
| 132 | Turkmenistan | 0 1000 t | 2023 | — | volatile |
| 132 | Tonga | 0 1000 t | 2023 | — | flat |
| 132 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 132 | Uganda | 0 1000 t | 2023 | — | flat |
| 132 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 132 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 132 | Samoa | 0 1000 t | 2023 | — | flat |
| 132 | Zambia | 0 1000 t | 2023 | — | volatile |
| 132 | Micronesia | 0 1000 t | 2023 | — | flat |
| 132 | Cabo Verde | 0 1000 t | 2023 | — | volatile |
| 132 | Polynesia | 0 1000 t | 2023 | — | flat |
| 132 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 132 | Côte d'Ivoire | 0 1000 t | 2023 | down 100.0% | volatile |
| 132 | China, Taiwan Province of | 0 1000 t | 2023 | down 100.0% | volatile |
| 132 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 22,195 1000 t
- Asia 9,871 1000 t
- Europe 6,699 1000 t
- Eastern Asia 4,420 1000 t
- European Union (27) 3,736 1000 t
- Southern Asia 3,585 1000 t
- Net Food Importing Developing Countries (NFIDCs) 3,405 1000 t
- Africa 3,037 1000 t
- Least Developed Countries (LDCs) 3,011 1000 t
- Eastern Europe 2,236 1000 t
- Northern Europe 1,879 1000 t
- Western Africa 1,864 1000 t
About this data
A food balance sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply and its utilization. The total quantity of foodstuffs produced in a country added to the total quantity imported and adjusted to any change in stocks that may have occurred since the beginning of the reference period gives the supply available during that period. On the utilization side a distinction is made between the quantities exported, fed to livestock, used for seed, put to manufacture for food use and non-food uses, losses during storage and transportation, and food supplies available for human consumption. The per caput supply of each such food item available for human consumption is then obtained by dividing the respective quantity by the related data on the population actually partaking of it. Data on per capita food supplies are expressed in terms of quantity and - by applying appropriate food composition factors for all primary and processed products - also in terms of caloric value and protein and fat content.